Feddersen Charlotte R, Wadsworth Lexy S, Zhu Eliot Y, Vaughn Hayley R, Voigt Andrew P, Riordan Jesse D, Dupuy Adam J
Department of Anatomy & Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, IA, 52246, USA.
Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, 52246, USA.
BMC Genomics. 2019 Jun 17;20(1):497. doi: 10.1186/s12864-019-5888-6.
The introduction of genome-wide shRNA and CRISPR libraries has facilitated cell-based screens to identify loss-of-function mutations associated with a phenotype of interest. Approaches to perform analogous gain-of-function screens are less common, although some reports have utilized arrayed viral expression libraries or the CRISPR activation system. However, a variety of technical and logistical challenges make these approaches difficult for many labs to execute. In addition, genome-wide shRNA or CRISPR libraries typically contain of hundreds of thousands of individual engineered elements, and the associated complexity creates issues with replication and reproducibility for these methods.
Here we describe a simple, reproducible approach using the SB transposon system to perform phenotypic cell-based genetic screens. This approach employs only three plasmids to perform unbiased, whole-genome transposon mutagenesis. We also describe a ligation-mediated PCR method that can be used in conjunction with the included software tools to map raw sequence data, identify candidate genes associated with phenotypes of interest, and predict the impact of recurrent transposon insertions on candidate gene function. Finally, we demonstrate the high reproducibility of our approach by having three individuals perform independent replicates of a mutagenesis screen to identify drivers of vemurafenib resistance in cultured melanoma cells.
Collectively, our work establishes a facile, adaptable method that can be performed by labs of any size to perform robust, genome-wide screens to identify genes that influence phenotypes of interest.
全基因组shRNA和CRISPR文库的引入推动了基于细胞的筛选,以识别与感兴趣的表型相关的功能丧失突变。尽管有一些报道利用阵列病毒表达文库或CRISPR激活系统,但进行类似的功能获得性筛选的方法并不常见。然而,各种技术和后勤方面的挑战使得许多实验室难以执行这些方法。此外,全基因组shRNA或CRISPR文库通常包含数十万个体工程元件,相关的复杂性给这些方法的复制和可重复性带来了问题。
在这里,我们描述了一种使用SB转座子系统进行基于细胞表型的遗传筛选的简单、可重复的方法。这种方法仅使用三种质粒来进行无偏倚的全基因组转座子诱变。我们还描述了一种连接介导的PCR方法,该方法可与随附的软件工具结合使用,以映射原始序列数据、识别与感兴趣的表型相关的候选基因,并预测反复转座子插入对候选基因功能的影响。最后,我们通过让三个人对诱变筛选进行独立重复,以识别培养的黑色素瘤细胞中维莫非尼抗性的驱动因素,证明了我们方法的高可重复性。
总体而言,我们的工作建立了一种简便、适应性强的方法,任何规模的实验室都可以使用该方法进行强大的全基因组筛选,以识别影响感兴趣表型的基因。